- Personal and Educational Background Information (CV)
- Recommendation Letters (2 for MSc)
- TOEFL Requirement (for those whose native language is not English). New Internet Based: Minimum Score 80.
- GRE scores
- Official transcripts from all the universities attended
- Statement of Purpose
Months of entry
Graduate education in Computational Science and Engineering (CMSE) at Koç University is offered through an interdisciplinary program among the Departments of the College of Arts and Sciences and the College of Engineering.
In this program graduate students are trained on modern computational science techniques and their applications to solve scientific and engineering problems. New technological problems and associated research challenges heavily depend on computational modeling and problem solving. Because of the availability of powerful and inexpensive computers model-based computational experimentation is now a standard approach to analysis and design of complex systems where real experiments can be expensive or infeasible.
Graduates of the CMSE Program should be capable of formulating solutions to computational problems through the use of multidisciplinary knowledge gained from a combination of classroom and laboratory experiences in basic sciences and engineering. Individuals with B.S. degrees in biology, chemistry, physics, and related engineering disciplines should apply for graduate study in the CMSE Program.
Information for international students
The program is taught in English and there are a full range of student support services for our international students.
Fees and funding
KU Graduate Fellowship
KU Graduate Fellowship is a unique and highly competitive MA and PhD scholarship opportunity for outstanding applicants. Candidates having outstanding academic record and/or having high impact scientific publications are considered for KU Graduate Fellowship.
The scholarships are only available to students applying to Thesis Programs. If you want to be considered for a scholarship, we recommend that you apply to one of our thesis programs instead.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Global Recruitment Team